Apple Media Products – Search Science Manager – Video, Books

SummaryPosted: Feb 16, 2022Weekly Hours: 40Role Number:200268947The Apple Media Products Search Team is looking for an extraordinary leader to help build next-generation search for Apple’s ground breaking devices and platforms.

We operate globally in languages around the world.

Our engineers have created some tough acts to follow, and they continue to lead us to innovative breakthroughs.

Because they’re driven not by what would be easy, but by what would be amazing.

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all find what we love in new ways.

The AMP Search team powers search for App Store, Apple Music, iTunes, Apple TV, Books, Podcasts, and more on iOS, macOS, tvOS and watchOS.Key QualificationsPassion.

Our customers love what we do at Apple and we want the same from our engineering leadersDemonstrated ability to build great teams and deliver great resultsStrong written and oral communication skills10 years of relevant industry experience3 years of management experienceDeep understanding of Search, Machine Learning, and Information RetrievalExperience building scaleable data pipelines with Hadoop, Scala, and SparkSolid understanding of A/B experimentation and data-driven product developmentExperience building search solutions with Lucene / Solr / Elasticsearch or related search technologies.DescriptionIn this role, you will lead a team of applied research engineers as a hands-on, 1st level, science manager.

You will be able to influence both technical and product direction/roadmap and be responsible for bringing the latest research in search and discovery to production at scale.

Managing search science features including Ranking, Recall, Query Understanding, Broad Queries, and Content Similarity are also a major part of this role.

You will have a major impact on the way people search & discover Apple Media content on Apple devices worldwide This is a team with strong expertise in search, information retrieval, machine learning, software engineering, language processing, data mining, scalable systems, and parallel processing (Hadoop, Scala, Spark).

We use big data technology to evaluate and prioritize content discovery features and conduct A/B Tests to ensure we objectively measure improvements.

This team ensures successful deployment of features, code, data, and models into production.

We work in collaboration with researchers, engineers, and operations to ensure that features and models are functioning at or above expected performance levels.

We design & implement solutions for automated unit and integration tests that enable continuous integration and delivery and support search on all devices (macOS, iOS, tvOS, watchOS, Siri/HomePod) and across media products (Video, Books) globally in languages from Arabic to Vietnamese and everything in betweenEducation & ExperienceMS or Ph.D.

in Computer Science or related discipline Apple is an equal opportunity employer that is committed to inclusion and diversity.

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